Rishi Sharma
  • Bio
  • Updates
  • Papers
  • Talks
  • Experience
  • Experience
  • Invited Talks
    • Decentralized Systems for Machine Learning
    • Decentralized Systems for Machine Learning
    • Scalability of Prolog: Real-world logic applications
    • Adversarial training for blind-spot removal
  • Posts
    • 🎉 Incoming Research Intern at Microsoft Research Cambridge, UK 🇬🇧.
    • 🎉 Our paper "Low-Cost Privacy-Aware Decentralized Learning" has been accepted for publication in the Proceedings on Privacy Enhancing Technologies 2025.
    • 🤖 We hosted the first MIT Decentralized AI Hackathon. 🤖
    • 🎉 Our paper "Boosting Asynchronous Decentralized Learning with Model Fragmentation" has been accepted for publication in the ACM Web Conference 2025.
    • 🎉 Our paper "Fair Decentralized Learning" has been accepted for publication in the IEEE SaTML 2025.
    • ✈️ Heading to Vancouver to attend NeurIPS 2024.
    • ✈️ Starting my Research Visit at the MIT Media Lab.
    • 🎉 Our paper "Revisiting Ensembling in One-Shot Federated Learning" has been accepted for publication at NeurIPS 2024.
    • 🎉 Our paper "Noiseless Privacy-Preserving Decentralized Learning" has been accepted for publication in the Proceedings on Privacy Enhancing Technologies 2025.
    • 🎉 I received the Doc.Mobility Grant 2024 at EPFL.
    • The Grad School Applications
    • ✈️ Starting my Ph.D. at EPFL.
    • Simplifying Differentiation using Directed Acyclic Graphs
  • Publications
    • Noiseless Privacy-Preserving Decentralized Learning
    • Low-Cost Privacy-Aware Decentralized Learning
    • Boosting Asynchronous Decentralized Learning with Model Fragmentation
    • Fair Decentralized Learning
    • Practical Federated Learning without a Server
    • Revisiting Ensembling in One-Shot Federated Learning
    • Energy-Aware Decentralized Learning with Intermittent Model Training
    • Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
    • Get More for Less in Decentralized Learning Systems
    • Decentralized Learning Made Easy with DecentralizePy
    • ZS3: Marrying Static Analyzers and Constraint Solvers to Parallelize Loops in Managed Runtimes

✈️ Starting my Research Visit at the MIT Media Lab.

Sep 27, 2024·
Rishi Sharma
Rishi Sharma
· 1 min read
Link to MIT profile

Excited to start my research visit at MIT and to work on Decentralized AI with Prof. Ramesh Raskar.

Last updated on Mar 3, 2025
Rishi Sharma
Authors
Rishi Sharma
Ph.D. in Computer Science
← ✈️ Heading to Vancouver to attend NeurIPS 2024. Dec 9, 2024
🎉 Our paper "Revisiting Ensembling in One-Shot Federated Learning" has been accepted for publication at NeurIPS 2024. Sep 25, 2024 →

© 2025 Rishi Sharma. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.